Present: Gordon, Brieanna, Jaimie, Austin

* Brieanna took notes on Dr. Kuh’s vision for our team for the semester (2016-8-30, Tuesday) * Proposal for presentation:

• Data Processing:
  • Understanding data
  • Mean vectors
  • Covariance matrices
  • Representation of data
  • Sampling/filtering
• Machine learning algorithms:
  • Feature extraction
  • Clustering
  • Principle component analysis (PCA)
• Offline:
  • Linear regression
  • Least squares’ algorithm
• Online:
  • Recursive least squares (RLS)
  • Least mean square (LMS)
• Tools for learning
  • Validation
  • Regularization
  • Getting working, documented code in Python
  • Calibration of data
  • Interface data to UHM dashboard

* Topics:

• Meetup to create first Proposal Presentation for this Saturday
• Using Dr. Kuh’s initial vision for our proposal presentation

* PPT Sections:

• Using {2016-8-31 Meeting Notes} 3 goals?

* Next Time… Continue:

• Stopped at:
  • Potential Problems
  • Plans to Complete [Goals]
• Meetup to continue work on the presentation (tomorrow, 2016-9-7, Wednesday)

Authors